A methodology for testing for statistically significant differences between fully 3D PET reconstruction algorithms.
A methodology for testing for statistically significant differences between fully 3D PET reconstruction algorithms.
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一种测试全 3D PET 重建算法之间统计显着性差异的方法。
DOI：
10.1088/0031-9155/39/3/003
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发表时间：
1994
影响因子：
3.5
通讯作者：
Matej,S
中科院分区：
文献类型：
--
作者：
Furuie,SS;Herman,GT;Narayan,TK;Kinahan,PE;Karp,JS;Lewitt,RM;Matej,S
提出了一种评估正电子发射断层扫描(PET)三维重建方法的实用方法。它包括从统计描述的3D图像集合中生成随机样本，该集合类似于将在医疗情况中应用PET的图像，生成具有噪声的对应投影数据和模拟3D PET扫描仪的检测器点扩展函数的对应投影数据，分配适合于预期医疗应用的品质因数，对训练数据集上的重建算法进行优化，以及对假设的有效性进行统计测试，所述假设(从特定品质因数的观点来看)与表示算法之一优于另一种算法的替代假设相比表现得同样好。虽然该方法是在考虑3D PET的情况下开发的，但它可以用于其他3D数据收集方法，如全3D CT或SPECT，只需稍作修改。
Presents a practical methodology for evaluating 3D positron emission tomography (PET) reconstruction methods. It includes generation of random samples from a statistically described ensemble of 3D images resembling those to which PET would be applied in a medical situation, generation of corresponding projection data with noise and detector point spread function simulating those of a 3D PET scanner, assignment of figures of merit appropriate for the intended medical applications, optimization of the reconstruction algorithms on a training set of data, and statistical testing of the validity of hypotheses that say that two reconstruction algorithms perform equally well (from the point of view of a particular figure of merit) as compared to the alternative hypotheses that say that one of the algorithms outperforms the other. Although the methodology was developed with the 3D PET in mind, it can be used, with minor changes, for other 3D data collection methods, such as fully 3D CT or SPECT.